Custom-Creations

AI-powered customization platform for furniture and virtual dressing.

Installation

Backend

1. Clone the repository:

   git clone <repository_url>
   cd Custom-Creations/backend

2. Create a virtual environment (recommended):

   python3 -m venv venv
   source venv/bin/activate  # On Linux/macOS
   venv\Scripts\activate  # On Windows

3. Install dependencies:

   pip install Flask flask-cors Werkzeug google-generativeai

4. Set your Gemini API key: Replace "YOUR API KEY" with your actual Gemini API key in backend/app.py.

5. Create the uploads directory:

   mkdir images

Frontend

1. Navigate to the frontend directory:

   cd ../frontend

2. Install dependencies:

   npm install

Usage/Examples

Backend

1. Run the Flask app:

   cd ../backend
   python app.py

   The backend server will start, typically on port 5000.

2. POST /predict endpoint: This endpoint expects an image file to be sent as part of a multipart/form-data request. It analyzes the image using the Gemini AI model to provide furniture/item suggestions.

   Request Body (multipart/form-data):

   • image: The image file.

   Response (JSON):

   {
       "prediction": "..."
   }

Frontend

1. Start the React app:

   cd ../frontend
   npm start

   This will start the development server, and the app will be accessible at http://localhost:3000.

2. Functionality:

   The frontend provides the following routes/functionality, according to the available files:

   • /: HomePage
   • /customizer: MainPage (likely furniture customization)
   • /model/:modelUrl: ModelDetailPage
   • /room-selection: RoomSelection
   • /furniture-selection: FurnitureSelection
   • /room-editor: RoomEditor
   • /room: Room
   • /try-on: TryOn (Virtual Dressing Room)
   • /dress-gallery/:gender: DressGallery
   • /model-display/:dressModelUrl: ModelDisplay
   • /superimpose:SuperImpose

Contributing

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them with descriptive messages.
4. Push your changes to your fork.
5. Submit a pull request.

License

MIT